Title :
Edge-labeling using dictionary-based relaxation
Author :
Hancock, Edwin R. ; Kittler, Josef
Author_Institution :
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
fDate :
2/1/1990 12:00:00 AM
Abstract :
An improved application of probabilistic relaxation to edge labeling is presented. The improvement derives from the use of a representation of the edge process that is internally consistent and which utilizes a more complex description of edge structure. The application uses a dictionary to represent permitted labelings of the entire context-conveying neighborhood of each pixel. Details are given of the dictionary approach and the related representation of the edge process. A comparison with other edge-postprocessing strategies is provided
Keywords :
pattern recognition; picture processing; probability; dictionary-based relaxation; edge labeling; edge structure; pattern recognition; picture processing; pixel; probabilistic relaxation; Computer vision; Dictionaries; Distributed computing; Filtering; Image edge detection; Labeling; Layout; Lighting; Noise level; Noise reduction;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
